Location: Warsaw, Poland
Blue Projects is looking for a skilled Electrical Design Engineer, with strong electrical background, and experienced in using 3D programs as Revit and AutoCAD.
Eagerness to learn and expand its knowledge is also a key point.
Requirements:
• Bachelor’s degree in electrical engineering or equivalent
• Minimum 5 years’ experience in electrical systems design
• Good English speaking and writing skills is mandatory
• Modelling skills for main electrical plant, electrical panels cabling and detailing
• Experience with multidisciplinary coordination
• Proficient in the use of 2D and 3D CAD systems such as Revit and AutoCAD
• Solid understanding of electrical systems
• Solid knowledge of the Romanian and European norms and regulations
• Solid knowledge in existing electrical systems and equipment
• Able to propose new and innovative solutions
• Able to conduct meetings with clients and respond to client’s demands in due time and with comprehensive solutions
• Extra low voltage design diploma is mandatory
• PV panels design or multiline diagram schematic design is a plus
• Strong working knowledge of Microsoft Office and applicable programs
• Solid organizational skills including attention to detail and multi-tasking skills
• Excellent written and verbal communication skills
• Background in designing low voltage and extra low voltage systems for industrial and logistics buildings is mandatory.
Responsibilities
• Create systems according to client’s demand and expectations. Propose efficient solutions both in terms of cost and consumption
• Review the project specifications to define requirements.
• Meet with the client or other consultants to gain a clearer understanding of what type of design is needed.
• Determine the basic design for the electrical system. The designer is required to use either a CAD modeling software (Revit) or a 2D design software (AutoCAD) to create a 3D model representation of the system or 2D drawings and incorporate any equipment related to the electrical systems, including all connections and control units.
• Create single-line diagrams using EcoStruxure Power Design
• Coordinate the medium voltage and BMS designer where is necessary
• Create, verify and validate all Material Approval Forms
• Answer any questions or solve any problems that come up during conception, design and installation that are related to his design.
• Coordinate with the rest of the design team (Architectural, Structural and Mechanical)
• Prepare reports, equipment schedules, specifications, etc.
• Prepare schematics, layouts and details according to design requirements.
About Blue Projects
Blue Projects is a unique multidisciplinary and engineering company with high experience in all industry sectors. Our core services include Project Management, Construction Management, Design & Engineering, Commercial Management and Health & Safety Management.
At Blue Projects, we believe that growing a great project management company happens from the inside out. It begins with people who are drawn to work that uses every talent they possess, plus imagination, determination and a drive to do the extraordinary.
Workplace: remote
Requirements
3+ years experience with COBOL on z/VSE (OS/390/MVS also welcome)
Solid experience with CICS online transactions
Strong JCL skills for z/VSE (or OS/390) batch jobs
Proficiency in VSAM dataset design and I/O
Hands-on experience with Micro Focus COBOL tooling
Fluent English
Nice to have
SQL, IMS, Control-M / CA-7 scheduling
Exposure to REST/SOAP integrations
We offer
Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Compensation of medical costs
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation, corporate sport competitions (cybersport included)
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Any questions?
Alexia
hh@itransition.com
What we expect from the Head of Treasury:
— Experience in liquidity management and group-level cash flow forecasting.
— High level of English proficiency (Upper-Intermediate / Advanced) for seamless communication with international banks and partners.
— Solid understanding of banking products, account structures, terms of service, and KYB/KYC/AML processes.
— Practical skills in FX management and risk hedging tools.
— Hands-on experience in treasury process automation (ERP, BI, payment systems).
— Ability to set up limits, controls, access matrices, and internal policies.
— Advanced proficiency in Excel (Power Query, macros, formulas) and understanding of BI tools principles.
Key responsibilities:
— Building and optimizing the treasury function: cash flow forecasting, payment automation, and transparency.
— Managing relationships with international banks: account opening, fee optimization, and banking network management.
— Assessing and managing FX and interest rate risks, as well as implementing practical hedging strategies.
— Cost reduction, control over payment limits, access rights, and transaction security.
— Updating internal treasury policies and mentoring the team.
What we offer:
— Flexible working hours and a hybrid work format.
— 21 days of paid vacation + 10 sick leave days and Cyprus public holidays.
— Health insurance, sports/wellness compensation, professional training, and language learning budgets.
— A strong international team and the opportunity to build global-scale processes.
ГибридheadLimassol
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Описание вакансии Международный fintech.
Задачи:
— Разрабатывать и развивать сервисы на .NET для core-функционала финтех-продукта
— Проектировать API/интеграции, работать с асинхронными процессами и брокером сообщений
— Повышать надежность и observability существующих сервисов
— Участвовать в code review, декомпозиции, оценке и технических решениях
Требования:
— .NET Core от 5-ти лет опыт проектирования и разработки сервисов
— Опыт работы с реляционными бд (транзакции, оптимизации запросов)
— Понимание принципов ООП, основных паттернов проектирования, SOLID, KISS, DRY
— Опыт работы с брокерами сообщений и основными паттернами асинхронного взаимодействия, outbox, inbox, saga
— English intermediate+
Будет плюсом:
— DDD
— Опыт с high-load/high-availability системами, построение resiliency
— full stack ReactJS
Location: Noida, India
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
You own the Microsoft Power Platform at TeamViewer: administration, operations and development. You run and further develop our Power Platform and Copilot Studio landscape, build pipelines and automation, manage connectors including custom connectors, and support our AI Advocates in turning ideas into working, compliant solutions.
Administer and operate the Power Platform: environments, Managed Environments, Dataverse, capacity, licensing, DLP policies and tenant settings
Run and develop Copilot Studio: agent design, topics, actions, knowledge sources, channels, testing, monitoring and lifecycle
Build and maintain Power Platform pipelines, ALM and release processes for solutions across development, test and production environments
Manage connectors end to end, including building, securing and maintaining custom connectors and their authentication
Develop and automate solutions with Power Automate, Power Apps and Dataverse, including admin automation and governance reporting
Coach and support AI Advocates and citizen developers in creating, reviewing and deploying Copilot Studio solutions
Monitor platform health, usage, adoption and cost; troubleshoot incidents and handle service requests as second and third level support
Keep governance standards, security controls and documentation current and practical
Requirements
Several years of hands-on experience administering and developing the Microsoft Power Platform in an enterprise environment
Proven experience building and operating Copilot Studio agents in production
Practical experience with Power Platform pipelines and ALM, including solution management and deployments
Solid experience with connector management, including creating and maintaining custom connectors and their authentication
Strong development skills in Power Automate, Power Apps and Dataverse
Working knowledge of Power Platform governance: environment strategy, DLP, security roles and licensing
Very good communication skills in English; able to explain technical topics to non-technical colleagues and to enable and support a community of business users
Structured, analytical troubleshooting and the ability to work independently across global teams
Nice to have
Microsoft certification PL-600, PL-400 or PL-200
Scripting and API experience, for example PowerShell, Power Platform CLI, Azure DevOps or GitHub, Microsoft Graph
Familiarity with Microsoft 365 Copilot administration and Responsible AI practices
Bachelor's degree in Information Technology, Business Informatics, Computer Science or a comparable qualification
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
Location: NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); NZ: Wellington: Xero One (19-23 Taranaki St)
Workplace: Hybrid
The role / impact
This senior engineering post sits right at the core of Practice Tools, balancing hands-on delivery with leading the team's adoption of artificial intelligence. You will own crucial infrastructure, CI/CD pipelines, monitoring, and alerting, ensuring reliable foundational systems that wider product teams depend upon.
Beyond core engineering, you will spearhead the transition toward an agentic software development lifecycle. By building on existing prototype agents, experimenting with AI-assisted workflows, and mentoring team members, you will shape how software is built while establishing a clear trajectory towards future technical leadership.
The team / how they connect
You will join a collaborative, close-knit group of engineers based across New Zealand who manage staff permissions, practice provisioning, and system deletion. The team operates with high autonomy, working closely together to deliver foundational capabilities that power the broader Practice Tools ecosystem. Communication is open and frequent, creating a supportive environment where diverse perspectives and fresh ideas are truly valued.
Initially, you will focus on
- Delivering key billing changes within the Practice Tools domain using React, JavaScript or TypeScript, and Java or .NET.
- Rolling out the Xero Partner Hub across all global regions to elevate the practice experience.
- Retiring legacy HQ components once the hub is live to improve system reliability and cost efficiency.
- Aligning authorization models with OAuth standards while advancing AI-driven automation across the delivery pipeline.
Where and how you can work
This position offers flexible working options for candidates based in New Zealand. You can choose to work remotely from home or access our modern office spaces in Wellington or Auckland. Whether you prefer coming into an office daily or working entirely from home, our setup supports your preferred working style alongside occasional team connection opportunities.
Here are some of the things we are looking for
- Experience developing web applications using React alongside JavaScript or TypeScript.
- Solid background in backend development (Preferably either Java or .NET)
- Practical knowledge of modern DevOps practices, including CI/CD pipelines using tools like GitHub Actions, Jenkins, or Spinnaker, along with robust monitoring and alerting.
- Direct hands-on experience building with AI and agentic systems beyond basic prompt engineering.
- A proven track record of mentoring junior colleagues and patiently guiding team members through new technical methodologies.
- A proactive, self-directed mindset with the drive to take ownership of complex technical challenges and grow toward senior leadership.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Position Summary:
Prove empowers customers to create memorable experiences across all client interaction channels. Solutions Engineers act as subject matter experts, providing product and market expertise essential for Prove's growth. They collaborate with Sales Directors and Strategists to communicate solutions and support implementation teams. They also work with product leaders to stay ahead of market trends and unmet needs.
Key Responsibilities:
— Design and clearly communicate solutions demonstrating understanding of business value and technical challenges.
— Partner with Sales Directors, Account Managers, and Strategic Account Managers to drive technical wins and align with technical buyers during sales cycles.
— Participate in IPM / OM hand-offs as needed.
— Lead product and technology evaluations with Sales Directors to ensure successful client engagements.
— Deliver detailed product presentations and demonstrations.
— Build credibility with prospects through expert knowledge of product, technical, business, and industry domains.
— Address business and technical challenges with tailored Prove services and solutions.
— Assist sales teams in articulating value propositions and selecting optimal solutions.
— Support execution of approved Proof of Concept (POC) Data Studies alongside Data Science.
— Support handoff to Onboarding Manager, IMP, Account Manager at various customer lifecycle stages.
— Collaborate cross-functionally with Sales, Account Management, Onboarding, Implementation, Solutions Consulting, Product Management, and Executive teams to close new customers and ensure successful implementation.
— Stay informed on industry trends and market disruptors through reading, workshops, and webinars.
— Create public-facing architecture/flows of Partner + Prove integrations.
— Enable Prove SEs and IPMs on technical integrations for accurate communication alongside sellers.
— Enable Partner technical counterparts on Prove value proposition and integration to support partner sellers.
— Own technical and product evaluation and integration planning for new partner integrations in partnership with GTM Partnerships.
Qualifications and Experience:
— Minimum 2 years of relevant experience in solutions architecture, technical pre-sales, or solutions engineering.
— Experience in a high-growth startup or technical environment.
— Technical experience implementing REST style APIs.
— Solid understanding of oAuth and other API authentication technologies.
— Good understanding of API integrations from standard API specifications in one or more programming languages such as Javascript, Java, C++, Python.
— Ability to build customized workflows by engaging with customers.
— Understanding of basic security concepts including encryption, hashing, behavior biometrics, and native app SDKs.
— Responsive and dedicated to clients, both internal and external.
— Strong verbal, writing, storytelling, and client interaction skills.
— Clear sense of ownership and accountability.
— Self-starter with capacity to learn quickly.
— Preferred experience in cybersecurity, fintech, or fast-growing startups.
Salary:
— Metro 2 areas (NYC, Seattle, Los Angeles, Miami): $125,000 - $135,000 plus sales incentive plan.
— Metro 3 areas (other US cities except San Francisco Bay Area): $110,000 - $123,000 plus sales incentive plan.
— Salary determined by experience, skills, geo-location, internal equity, and market data.
Benefits & Perks:
— Competitive salaries, bonus plan, and equity plan.
— Modern Health for financial, mental, and physical wellness.
— 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices).
— Unlimited vacation and flexible hours.
— Comprehensive medical benefits for employees and families.
— Emotional & Physical Wellness services (EAP & Prove Well-Being Reimbursement).
— Snacks and beverages at certain office locations.
— Daily GrubHub stipend for lunch if working in office (US Offices).
Equal Opportunity Employment:
Prove is committed to equal employment opportunity regardless of race, color, religion, gender, sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status, or other personal characteristics.
Privacy & Data Protection:
Prove collects and uses personal information during the job application process as detailed in their Recruitment Privacy Policy.
Location: Remote - Europe
About the company
Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place.
Role Overview:
As a Senior Product Manager, you will drive the execution of new consumer trading products at Trust Wallet and help shape their strategy and vision. You will work closely with engineering, design, marketing, business development, and security teams to ship fast, iterate with data, and deliver a seamless and secure user experience in the fast-evolving Web3 space.
Key Responsibilities:
- Own end-to-end delivery and iteration of new trading products — from requirements and specs to launch, post-launch analysis, and continuous optimization.
- Build community and creator driven experiences that help users discover opportunities and make better trading decisions.
- Design and scale user growth programs — referral, invite, rewards, and partner incentives, including attribution, reward logic, settlement, and abuse prevention.
- Explore and build new products around tokenized real-world assets (RWA), bringing new asset classes to on-chain trading while handling their unique requirements.
- Apply a deep understanding of Web3 fundamentals, DEX mechanics, and market data to product decisions, ensuring new products are built on a solid trading foundation.
- Define success metrics, set up tracking, and run experiments to improve activation, retention, and trading volume.
- Track on-chain trends and the fast-moving consumer crypto landscape, and turn insights into product iterations and new product opportunities beyond the current roadmap.
Experience:
- 3+ years of experience on consumer crypto trading products (wallet, DEX/aggregator, or trading apps); 5+ years as a product manager.
- Preferred: hands-on experience building referral, affiliate, or rebate programs — reward mechanics, attribution method, commission settlement, and anti-fraud.
- Deep, first-hand familiarity with the latest wave of social and copy-trading apps and on-chain discovery tools — you use them yourself and have your own perspective on them.
- Solid understanding of on-chain trading: DEX and aggregator routing, slippage, gas, MEV, token market data (price, liquidity, holders), and memecoin/launchpad dynamics.
- Proven execution and strong communication — shipping fast, running multiple workstreams in parallel, writing clear PRDs, and staying resilient in a fast-moving, high-stakes environment.
- Strong growth and data sense — metrics, funnels, cohorts, viral coefficient, LTV/CAC, and experiment design, to understand users and improve the product.
- Nice to have: experience with creator/KOL ecosystems or community operations.
ADDITIONAL INFORMATION
This is a global and fully remote role. You must have the right to work for the country you are based.
WHY WORK AT TRUST WALLET?
- Be a part of the world’s leading blockchain ecosystem that continues to grow.
- Excellent learning and career development opportunities.
- Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless.
- Tackle fast-paced, challenging and unique projects.
- Work in a truly global organization, with international teams and a flat organizational structure.
- Work fully remotely with flexible working hours.
- Enjoy competitive salary and benefits.
Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone.
Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
*Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.
Workplace: remote
Location
:
Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.
Responsibilities
:
Provision AWS infrastructure with Terraform and configure Linux hosts in AWS and the external data center with Ansible, so every environment can be rebuilt from code.
Build and run a Kubernetes cluster for shared platform services (observability, Keycloak, HashiCorp Vault, web applications), delivered through GitOps with Argo CD and Helm.
Build and maintain GitLab CI pipelines for infrastructure and platform services.
Integrate corporate SSO through Microsoft Entra ID and keep user and group IDs consistent across all sites and compute pools.
Set up monitoring and alerting across compute pools and platform services with Prometheus and Grafana.
Implement encryption, key management, least-privilege access and audit logging, and support the client's security review.
What we expect
:
5+ years of experience in DevOps, Platform, or Cloud Engineering, including ownership of production environments.
Strong hands-on experience with AWS (VPC, IAM, EKS, EC2, S3, KMS) and Terraform.
Strong Linux administration skills and Ansible experience.
Production experience with Kubernetes, Helm, and Argo CD.
Experience building CI/CD pipelines with GitLab CI or GitHub Actions.
Experience with Prometheus and Grafana.
Experience with SSO integration (OIDC/SAML) using Keycloak and Microsoft Entra ID.
Experience with HashiCorp Vault for secrets management.
Solid networking knowledge: routing, DNS, firewalls, site-to-site IPSec VPN and hybrid cloud connectivity.
Python and Bash scripting for automation.
Ability to work independently and communicate directly with client IT, network and security teams.
Nice to have
:
Experience with HPC environments: Slurm, AWS ParallelCluster, Open OnDemand.
Experience with Argo Workflows.
Experience with hybrid storage and data transfer: NetApp ONTAP, AWS DataSync, rclone.
Experience in pharma, life sciences, or other regulated industries.
AWS certifications.
We offer
:
Competitive compensation
Remote or office work
Flexible working hours
Healthcare benefits: medical insurance and paid sick leave
Continuous education, mentoring, and professional development programs
A team with an excellent tech expertise
Certifications paid by the company
УдалённоseniorQuantori is an international team: we have colleagues who work not only from office but also remotely from all over the world
Location: Mexico City, Cuauhtémoc, Mexico
Working at Bitso
Bitso is Latin America's largest crypto-powered financial services platform. Bitso Business serves corporates,
liquidity providers, importers and exporters, credit companies and payment firms that move money across
borders and settle at scale. We are building the most recognized FX franchise for corporates in the region, on
rails that are faster and more transparent than the correspondent banking system they replace.
Your Purpose
The Senior Sales Executive owns a corporate portfolio end to end: sourcing, structuring, closing and growing FX
and cross-border payment relationships. This is a quota-carrying, individual-contributor role for someone who
has sold spot and forward FX, SPEI and mass-payment flows to treasurers and CFOs, and who is comfortable
explaining stablecoin settlement rails to a compliance committee the same week they quote a USD/MXN
spread to a trading desk.
Reports To
Head of Sales
Who You Are
Must have
10+ years of B2B sales experience in fintech, payments, FX or banking institutions, with a consistent record
of carrying and beating quota.
Demonstrable experience selling FX - spot and forward - to corporate clients, including pricing
conversations with treasurers and trading desks.
Demonstrable experience selling SPEI and Mexican domestic payment flows, including mass payments and
collections.
Strong network among corporates, financial institutions or payment companies in Mexico.
Ability to structure complex, multi-product deals and navigate procurement, treasury, legal and compliance
in parallel.
Full professional proficiency in Spanish and English, written and spoken.
Fluency with CRM discipline and data-driven pipeline management.
Strongly desirable
Prior experience at a crypto exchange, digital-asset platform or blockchain-native company.
Working knowledge of Bitcoin, stablecoins and on-chain settlement, and the ability to explain them credibly
to a non-crypto CFO.
Experience with cross-border corridors involving the US, LatAm, Europe or Asia.
Exposure to regulated environments - IFPE, SOFIPO, VASP or equivalent licensing regimes.
Soft skills
Collaboration: works naturally with Trading, Compliance, Product, Operations and Legal - treats them as
partners in the deal, not obstacles to it.
Teamwork: shares intelligence, mentors less experienced sellers and contributes to team targets beyond
personal quota.
Performance under pressure: stays composed in volatile markets, live pricing situations and tight
settlement windows.
Ownership: operates autonomously, commits to numbers and reports honestly when they are at risk.
Clarity: communicates with precision in front of a CFO, a regulator or an internal committee.
What You Will Do
Commercial ownership
Carry and exceed an individual quota for FX volume, payment volume and net revenue across an assigned
corporate portfolio.
Build and maintain a disciplined pipeline in the CRM - accurate stages, next steps, close dates and a monthly
forecast within plus or minus 10%.
Originate new logos through outbound prospecting, industry networks, chambers of commerce, brokers and
referral partners.
Negotiate pricing, spreads, credit terms and commercial agreements in coordination with Trading, Treasury
and Legal.
Client management and structuring
Act as the trusted commercial counterpart to CFOs, treasurers, controllers and heads of payments at
corporates and financial institutions.
Diagnose client flows - currency pairs, corridors, volumes, timing, settlement constraints - and structure the
right combination of FX, SPEI, cross-border payments and stablecoin settlement.
Grow existing accounts through wallet-share expansion, new corridors and additional products; own
quarterly business reviews with top clients.
Coordinate onboarding with Compliance, Operations and Implementation so time-to-first-transaction is
measured in days, not months.
Market and product
Bring structured market intelligence back to the business: competitor pricing, bank behaviour, corridor
dynamics and regulatory shifts.
Work with Product to translate recurring client needs into roadmap input, and be an early voice on new FX
and payment capabilities.
Represent Bitso Business at industry events, panels and client forums in Mexico and the region.
Compliance and risk
Sell within Bitso's regulatory perimeter at all times; partner with Compliance on KYB, onboarding and ongoing
due diligence rather than working around it.
Escalate risk signals early and maintain complete, auditable records of client interactions and commercial
terms.
What we offer
A category-defining seat: Bitso is the largest crypto-powered financial platform in Latin America, and the
corporate franchise is the fastest-growing part of it.
Competitive base salary plus uncapped variable compensation tied to revenue and volume.
Direct access to the Head of Sales and FX business leadership, and real influence on product direction.
A regulated, compliance-first operating environment - you sell on solid ground.
Who We Are
With over 10 million users, Bitso is the leading cryptocurrency platform in Latin America. We are developing the cryptocurrency ecosystem in the region and enabling financial inclusion. We believe crypto is the future of finance, and we’re committed to making it useful by providing equal access to safe and intuitive financial products.
We are here to make a lasting impact on our customer’s lives and we do so by embracing our core values:
Be Human:
we delight our customers through great products, deep care and true empathy. We are humble and we take pride in understanding the views of others to help us see the full picture.
Drive Change:
we're fearless pioneers committed to unlocking the crypto revolution for humanity. We move fast, take risks and work together to drive lasting impact.
Choose Bold Honesty:
we seek the truth, especially when it’s uncomfortable, in our teams, products and business reality because that will uncover where we need to focus.
Be an Owner:
our sense of urgency makes us have a bias towards action, where we prioritize exceptionally and are wise in allocating our time to ensure we always deliver creative and innovative results.
Learn more about our
culture and values
.
Compensation & Benefits
At Bitso, you are taking the front seat on the edge of crypto innovation, creating the next generation of crypto-powered products.
So for those willing to commit, adapt and pioneer the most important change of the century we offer:
Me Time program
, including unlimited paid time off.
Remote-first
work environment.
Employee Stock Option
program.
Zero trading fees
through our Bitso app.
Extended
Family Leave
policy: all birthing parents, non-birthing parents and adopting parents are eligible for a 4-months leave.
Premium health, dental and life
insurances in Mexico, Brazil and Argentina.
Mental wellness
platform.
Volunteering
days.
Want to leave an undoubtedly legacy with us? Fasten your seatbelt and join this spaceship, where you will find exponential growth and the opportunity to thrive!
Location: India
Our client is a UK-based B2B software company specialising in technology for the energy and commodity markets.
They are looking for a hands-on
Principal Software Engineer
to join a small engineering team building complex software for the European energy and trading market.
This is a technical leadership role first, with people management alongside it. You’ll continue writing and reviewing production code every week while also leading and developing a small team of engineers.
Requirements
You’ll take ownership of the technical direction of a core product area, working from well-defined requirements through design, development and delivery.
Key responsibilities include:
Write, review and ship production code regularly using
C#/.NET and Azure
Lead technical design and make architecture decisions, balancing delivery speed with long-term maintainability
Design, develop, refactor, debug, test and support high-quality software
Line-manage and mentor a small team of engineers
Lead code and design reviews and constructively challenge technical decisions
Own automated unit testing and promote strong engineering practices
Identify root causes of complex technical issues and implement long-term solutions
Contribute to planning, estimation and requirements refinement
What We’re Looking For
10+ years of commercial software engineering experience
Strong, recent and hands-on
C#/.NET
experience, including .NET Core/Web API
Experience with
Azure
and cloud-based software development
Strong system design and software architecture skills
Experience with
SQL and NoSQL
databases
Docker, containerisation and orchestration experience
Strong understanding of SOLID principles, design patterns and integration patterns
Experience with automated testing and code reviews
Proven
people management / line management
experience while remaining hands-on technically
Fluent English and strong communication skills
A stable career history and experience working in complex products
Nice to Have
Experience in
fintech, payments, trading, energy or another complex/regulated domain
Experience in a smaller product-focused company
Infrastructure as Code, such as Terraform, Bicep or ARM
GitHub Actions, SonarCloud or CodeQL
Experience with multi-tenant SaaS products
TypeScript, Angular, JavaScript or Python
Benefits
Fully remote within India
Competitive salary + annual bonus
Private medical insurance
Flexible working hours
24 days’ annual leave plus bank holidays
Regular in-person team gatherings with travel and accommodation covered
Opportunity to work on complex software used in live European energy markets
Задачи:
— разработка классических LLM агентов
— разработка tools для агентов, а также skills-инструкций для LLM
— воспроизведение основных паттернов разработки в продуктовой парадигме
— участие в обсуждении требований с бизнес-заказчиками
— контроль качества agent-pipeline
— декомпозиция верхнеуровневых задач на исполнимые в рамках разработки
— вывод в production llm-приложений, agent'ских систем.
Требования:
— знания в области: математических анализ, линейная алгебра, Deep Learning, Classic ML, Python (async, fastapi, Semaphore)
— высшее образование (МГУ, Физтех, ВШЭ, РЭШ и тд)
— понимание построенных целевых решений, предложения по внесению изменений в архитектуру
— опыт работы в open-source LLM (GLM5.2, qwen 3.5, etc)
— знание фреймворков LangChain, LangGraph, fastapi, huggingface, а также regex и иных библиотек по обработке текста
— vanilla RAG, Advanced RAG, работа с контекстом llm
— базовое знание принципов промышленной разработки на python (SOLID, Singleton)
— базовый MLops (работа с version control, CI/CD)
Будет плюсом:
— опыт работы с openclaw, его форками
— использование llm GigaChat, Kandinsky
— опыт работы в финтехе
— опыт использования и доработки OCR.
Условия:
— комфортный современный офис рядом с м. Кутузовская
— возможность выбрать удобный график – офис/гибрид
— ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования)
— корпоративный спортзал и зоны отдыха
— более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
— программа адаптации и помощь руководителя на старте (для вакансий уровня Junior)
— расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
— гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
— подписка Прайм с возможностью совместного использования на трёх близких
— вознаграждение за рекомендацию друзей в команду Сбера.
Задачи:
— Заниматься разработкой ключевой функциональности портала gosuslugi.ru
— Оценивать трудозатраты на реализацию
— Проводить оптимизацию кода разрабатываемых/существующих модулей
— Документировать свой код, выполнять ревью кода коллег по команд
Требования:
— Знание SCSS, JavaScript, Typescript, Angular, RxJs
— Опыт применения AJAX в контексте сервисов данных (REST, JSON, JSONP)
— Работа с Git
— Знание ООП, SOLID, KISS, DRY, GRUSP
Условия:
— Опыт работы в аккредитованной IT-компании над социально значимыми уникальными проектами
— Официальное трудоустройство
— Стабильный доход и квартальные премии
— Гибкое начало рабочего дня
— ДМС со стоматологией и международной страховкой
— Интересная программа внутреннего и внешнего обучения
— Прозрачные условия для развития и карьерного роста
Обязанности:
— Разработка и поддержка автотестов.
— Поддержка и развитие тестового фреймворка.
— Работа с Jenkins.
— Работа с Git.
— Работа с Apache Kafka.
— Работа с SQL.
— Работа с Selenide / Selenium.
— Работа с DevTools.
— Анализ и чтение логов.
— Исследование и анализ возникающих проблем.
— Оперативная поддержка и актуализация автотестов и тестового фреймворка.
Требования:
— Знание Java / Kotlin и принципов ООП.
— Знание и понимание работы с коллекциями: List, Map, Set; потокобезопасные коллекции — как плюс.
— Знание принципов SOLID.
— Знание Maven.
— Знание JUnit 4/5.
— Знание теории тестирования и техник тест-дизайна.
— Умение работать с DevTools и снифферами.
— Умение читать и анализировать логи, работать с Kibana, Grafana.
— Понимание жизненного цикла разработки ПО.
— Понимание клиент-серверной архитектуры.
— Знание протокола HTTP.
— Умение работать с тестовой документацией.
— Гибкость, коммуникативность, дружелюбие, стрессоустойчивость, самостоятельность.
Условия и преимущества:
— Белая зарплата, трудоустройство по ТК РФ;
— 31 день оплачиваемого отпуска в год;
— ИПР – Индивидуальный план развития для каждого сотрудника;
— Активная корпоративная культура с Online и Offline мероприятиями;
— Добровольный ДМС (50% оплата от компании);
— Корпоративные внутренние курсы: автоматизация тестирования на Java, нагрузочное тестирование;
— Частичная компенсация пройденных курсов на различных платформах;
— Добровольная международная сертификация ISTQB с компенсацией от компании;
— Корпоративные занятия английским языком;
— Оборудование от компании;
— Реферальная программа "Приведи друга";
ГибридmiddleМосква; Всегда находимся в поиске –– идеальных решений, лучших методик и профессионалов, которые умеют стратегически мыслить и идти к общей цели
Location: Remote
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
Alpaca is growing its Treasury function as we scale our product suite, global footprint, and self-clearing operations. We are looking for a Financial Risk Manager to support the development and day-to-day execution of Alpaca's liquidity risk monitoring and stress testing program.
This is a hands-on, analytical role for someone who wants broad exposure across Treasury, Finance, Operations, and Risk. You will work closely with the Head of Treasury and partner cross functionally to help maintain sound liquidity governance and produce rigorous analysis under both business-as-usual and stressed conditions. This role is responsible for building out Alpaca's liquidity risk infrastructure from the ground up. You will establish daily liquidity reporting, streamline data pipelines, implement intraday monitoring and stress testing capabilities, develop longer-term and Monte Carlo-based stress testing frameworks, and build the alerting and controls needed to support Treasury decision-making as Alpaca launches new products and expands into new markets.
While the title reflects managerial scope over liquidity risk and stress testing workstreams, this is primarily an individual contributor role with opportunity to grow into broader leadership as the function matures.
What You'll Do:
Key Priorities
This role will be responsible for building out the following core capabilities:
Daily liquidity reporting and streamlined data pipelines
Intraday liquidity monitoring
Intraday stress testing
Longer-term stress testing
Monte Carlo simulations for stress testing
Alerting frameworks and other necessary controls
Daily Liquidity Reporting & Data Pipelines
Build and own daily liquidity reporting, ensuring timely, accurate views of firm liquidity positions across products and legal entities
Design and streamline data pipelines connecting Treasury, Finance, Operations, and clearing/settlement systems to reduce manual effort and improve data quality
Help maintain broker-dealer liquidity reporting related to SEC Rule 15c3-1 (Net Capital), SEC Rule 15c3-3 (Customer Reserve), and related FINRA/SEC requirements
Partner with Engineering and Data teams to automate reporting workflows using SQL, Python, and BI platforms
Intraday Monitoring
Build and maintain real-time and intraday liquidity monitoring capabilities to track cash positions, settlement flows, margin movements, and funding needs throughout the day
Establish intraday liquidity metrics, limits, and early warning indicators (EWIs); investigate breaches and prepare escalation materials for Treasury leadership
Support same-day funding and treasury operations decisions with timely liquidity analysis during market hours
Intraday Stress Testing
Develop and implement intraday stress testing capabilities to assess the impact of sudden market moves, margin calls, settlement disruptions, and customer activity spikes on firm liquidity
Run and refine intraday stress scenarios in coordination with Treasury Operations and Risk teams
Ensure intraday stress results are actionable for real-time decision-making
Longer-Term Stress Testing
Build out the firm's longer-term stress testing program, including scenario design, assumption documentation, model runs, and results reporting
Develop and update stress scenarios — including market-wide and tail-risk events — to assess impacts on net capital, customer reserve, firm liquidity, and settlement flows across multiple time horizons
Participate in integrated stress exercises with Market Risk, Credit Risk, and Operational Risk teams and help synthesize results for Treasury and Risk stakeholders
Review and challenge assumptions used in stress models; flag areas requiring further review or remediation
Monte Carlo Simulations
Build and maintain Monte Carlo simulation models to complement deterministic stress testing and better capture the distribution of potential liquidity outcomes under adverse conditions
Calibrate simulation inputs, validate model outputs, and incorporate results into Treasury liquidity planning and risk limit setting
Alerting & Controls
Design and implement alerting frameworks to notify Treasury leadership of limit breaches, deteriorating liquidity metrics, and stress test threshold breaches
Build out the controls infrastructure necessary to support liquidity risk governance, including escalation protocols, documentation standards, and audit trails
Prepare analysis and documentation for regulatory examinations, internal audits, and management reporting; coordinate with the Risk team as needed
Cross-Functional Support
Provide liquidity risk input in the New Product Approval (NPA) process, identifying potential funding and liquidity considerations for new asset classes, leveraged products, and international expansion
Partner with Engineering, Product, and Operations to help stress-test margin engines, settlement workflows, and treasury systems
Contribute to ERM deliverables such as the Risk Register and Key Risk Indicators (KRIs) in coordination with the CRO and Risk team
Help document policies, procedures, and methodologies as the Treasury function scales
Stay current on regulatory developments, industry stress events, and emerging liquidity risks in fintech and digital asset markets
Who You Are (Must-Haves):
2-4 years experience in liquidity risk, treasury, financial risk, middle office, or balance sheet analytics within a broker-dealer, bank, or fintech environment
Solid understanding of broker-dealer liquidity and capital requirements, including SEC Rules 15c3-1 and 15c3-3
Hands-on experience building or supporting liquidity reporting, data pipelines, and stress testing programs
Experience with intraday liquidity monitoring, stress testing, or real-time risk reporting
Familiarity with Monte Carlo simulation techniques or probabilistic risk modeling
Familiarity with Treasury operations, cash management, and funding workflows in a regulated environment
Working knowledge of risk governance concepts and how Treasury and Risk functions interact in a broker-dealer setting
Proficiency in SQL and Python (or similar) for data analysis, pipeline development, reporting automation, and working with large datasets
Strong attention to detail and ability to produce clear, well-structured analysis for senior stakeholders
Comfortable working cross-functionally in a fast-paced, remote-first startup environment
Who You Might Be (Nice-to-Haves):
Experience at a self-clearing broker-dealer or carrying/clearing firm
Experience building alerting, monitoring, or controls frameworks from scratch
Exposure to SPAN, TIMS, or margin methodologies and their liquidity implications
Familiarity with crypto/digital asset liquidity risk or 24/5 trading environments
Experience supporting SEC/FINRA examinations or internal audit requests
Knowledge of international regulatory frameworks across Alpaca's global subsidiaries
FRM, CFA, or similar certification (or in progress)
Prior experience in a high-growth fintech where processes and frameworks are still being built
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.
Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale.
Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.
Key responsibilities
Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps
Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region
Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
Minimum qualifications
Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
Are curious about LLM serving; prior inference or ML experience is not required
Thrive in cross-functional collaboration with both internal teams and external partners
Have experience working with external partners to align goals and deliver impact
Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
Preferred qualifications
Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
Solid understanding of multi-region deployments, geographic routing, and global traffic management
Proficiency in Python or Rust
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.
Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.
This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.
Key responsibilities
Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability
Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
Minimum qualifications
Have a strong interest in LLM serving; prior inference or ML experience is not required
Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
Thrive in cross-functional collaboration with both internal teams and external partners
Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
Preferred qualifications
LLM inference optimization, batching, and caching strategies
Capacity-constrained scheduling or shared-resource test infrastructure
Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
Proficiency in Python or Rust
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Andorra la Vella, Andorra; Buenos Aires, Argentina; Brasilia, Brazil; Rio de Janeiro, Brazil; Barcelona, Spain; Madrid, Spain; Milano, Italy; Rome, Italy; Abu Dhabi, United Arab Emirates; London, United Kingdom; Lugano, Switzerland; Warsaw, Poland; Amsterdam, Netherlands; Lisbon, Portugal; Dublin, Ireland; Bucharest, Romania; Bangalore, India; Kuala Lumpur, Malaysia
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio.
We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios.
Responsibilities
Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint.
Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms.
Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions.
Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems.
Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch.
Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms.
A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios.
Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required.
Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency.
Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters.
Deep understanding of the math and structure behind Diffusion Models and Vision Transformers
Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc.
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ГибридNoida, India
ГибридseniorNZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); NZ: Wellington: Xero One (19-23 Taranaki St); This position offers flexible working options for candidates based in New Zealand
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